{
 "cells": [
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext"
   },
   "source": [
    ".. _nb_heat:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Heatmap\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For getting in idea of the distribution of values heatmaps can be used.\n",
    "\n",
    "Let us visualize some test data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "code": "visualization/usage_heatmap.py",
    "section": "load_data"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "np.random.seed(1234)\n",
    "F = np.random.random((4, 6))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A simple heatmap can be created by:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "code": "visualization/usage_heatmap.py",
    "section": "heatmap"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 259,
       "width": 474
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pymoo.visualization.heatmap import Heatmap\n",
    "Heatmap().add(F).show()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "By default, larger values are represent with wight and smaller values with the corresponding color:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 106,
       "width": 474
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Heatmap(bounds=[0,1]).add(np.ones((1, 6))).show() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This behavior can be changed by setting reverse to False."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 106,
       "width": 474
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Heatmap(bounds=[0,1],reverse=False).add(np.ones((1, 6))).show() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The plot can be further customized by supplying a title, labels, and by using the plotting directives from matplotlib. Also, the colors can be changed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "code": "visualization/usage_heatmap.py",
    "section": "heatmap_custom"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 278,
       "width": 474
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = Heatmap(title=(\"Optimization\", {'pad': 15}),\n",
    "               cmap=\"Oranges_r\",\n",
    "               y_labels=[\"Solution A\", \"Solution B\", \"Solution C\", \"Solution D\"],\n",
    "               labels=[\"profit\", \"cost\", \"sustainability\", \"environment\", \"satisfaction\", \"time\"])\n",
    "plot.add(F)\n",
    "plot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Moreover, the values can be sorted lexicographically by objective(s) - default the selected objective is insert in position 0 of the range of objectives. Also, the boundaries can be changed. Otherwise, it is scaled according to the smallest and largest values supplied."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "code": "visualization/usage_heatmap.py",
    "section": "heatmap_custom_more"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 1665,
       "width": 371
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "F = np.random.random((30, 6))\n",
    "\n",
    "plot = Heatmap(figsize=(10,30),\n",
    "               bound=[0,1],\n",
    "               order_by_objectives=0,\n",
    "               y_labels=None,\n",
    "               labels=[\"profit\", \"cost\", \"sustainability\", \"environment\", \"satisfaction\", \"time\"],\n",
    "               cmap=\"Greens_r\")\n",
    "\n",
    "plot.add(F, aspect=0.2)\n",
    "plot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### API"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext"
   },
   "source": [
    ".. autoclass:: pymoo.visualization.heatmap.Heatmap\n",
    "    :noindex:"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
